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Stochastic E2F activation and reconciliation of phenomenological cell-cycle models.

Lee, TJ; Yao, G; Bennett, DC; Nevins, JR; You, L (2010) Stochastic E2F activation and reconciliation of phenomenological cell-cycle models. PLoS Biol, 8 (9). e1000488. ISSN 1545-7885 https://doi.org/10.1371/journal.pbio.1000488
SGUL Authors: Bennett, Dorothy Catherine

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Abstract

The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition probability (TP) model and the growth control (GC) model, which lack mechanistic details. The GC model was further proposed as an alternative explanation for the concept of the restriction point, which we recently demonstrated as being controlled by a bistable Rb-E2F switch. Here, through a combination of modeling and experiments, we show that these different lines of models in essence reflect different aspects of stochastic dynamics in cell cycle entry. In particular, we show that the variable activation of E2F can be described by stochastic activation of the bistable Rb-E2F switch, which in turn may account for the temporal variability in cell cycle entry. Moreover, we show that temporal dynamics of E2F activation can be recast into the frameworks of both the TP model and the GC model via parameter mapping. This mapping suggests that the two lines of phenomenological models can be reconciled through the stochastic dynamics of the Rb-E2F switch. It also suggests a potential utility of the TP or GC models in defining concise, quantitative phenotypes of cell physiology. This may have implications in classifying cell types or states.

Item Type: Article
Additional Information: Copyright: © 2010 Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Animals, Blotting, Western, Cell Cycle, Cell Line, E2F Transcription Factors, Flow Cytometry, Models, Biological, Rats, Stochastic Processes, Cell Line, Animals, Rats, Blotting, Western, Flow Cytometry, Stochastic Processes, Cell Cycle, Models, Biological, E2F Transcription Factors, 06 Biological Sciences, 11 Medical and Health Sciences, 07 Agricultural and Veterinary Sciences, Developmental Biology
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: PLoS Biol
ISSN: 1545-7885
Language: eng
Dates:
DateEvent
21 September 2010Published
6 August 2010Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
P50 GM081883NIGMS NIH HHSUNSPECIFIED
R01 CA104663NCI NIH HHSUNSPECIFIED
1P50GM081883NIGMS NIH HHSUNSPECIFIED
UNSPECIFIEDHoward Hughes Medical InstituteUNSPECIFIED
PubMed ID: 20877711
Web of Science ID: WOS:000282279200017
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/111810
Publisher's version: https://doi.org/10.1371/journal.pbio.1000488

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